Sciweavers

97 search results - page 6 / 20
» Learning Investment Functions for Controlling the Utility of...
Sort
View
IROS
2006
IEEE
190views Robotics» more  IROS 2006»
14 years 1 months ago
Q-RAN: A Constructive Reinforcement Learning Approach for Robot Behavior Learning
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
Jun Li, Achim J. Lilienthal, Tomás Mart&iac...
ECML
2007
Springer
13 years 11 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
ECAI
2010
Springer
13 years 8 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
ISCC
2003
IEEE
153views Communications» more  ISCC 2003»
14 years 24 days ago
Fuzzy Explicit Marking for Congestion Control in Differentiated Services Networks
This paper presents a new active queue management scheme, Fuzzy Explicit Marking (FEM), implemented within the differentiated services (Diff-Serv) framework to provide congestion ...
Chrysostomos Chrysostomou, Andreas Pitsillides, Ge...
MICRO
2000
IEEE
162views Hardware» more  MICRO 2000»
13 years 11 months ago
Accurate and efficient predicate analysis with binary decision diagrams
Functionality and performance of EPIC architectural features depend on extensive compiler support. Predication, one of these features, promises to reduce control flow overhead and...
John W. Sias, Wen-mei W. Hwu, David I. August